We are looking for a business-minded AI Solution Consultant to support customer engagements and solution development across a range of AI initiatives. This role sits between business and technical teams. You will work with customers to understand their business needs, identify relevant AI use cases, and help translate those requirements into clear solution concepts, proposals and presentations. You will also collaborate closely with internal engineers, solution architects, partners and vendors to bring together the right technical input and turn it into a clear and compelling customer-facing story. A key part of the role is staying current with developments in AI, including Generative AI, AI Agents and enterprise AI applications, and assessing how these capabilities may be applied to real customer scenarios. This may include structured research, solution comparisons and hands‑on exploration of selected AI tools or platforms. We place strong emphasis on communication, structured thinking, business acumen, curiosity and the ability to learn quickly. A deep engineering background is not necessary, but candidates should be comfortable learning AI concepts, working with technical teams and translating technical information into practical business value.
Key Responsibilities
- Proposal Development & Storytelling: Develop high-quality solution proposals, customer presentations, executive materials, business cases and solution narratives. Build clear storylines that connect customer pain points, business outcomes, solution capabilities and our relevant strengths.
- Customer Discovery & Use-case Identification: Participate in customer meetings, discovery sessions and workshops to understand business priorities, pain points and requirements. Help identify and frame practical AI use cases, desired outcomes and potential solution approaches.
- Business–Technical Translation: Act as a bridge between business and technical teams. Work with engineers and solution architects to understand technical inputs, dependencies and constraints, then translate them into clear customer-facing messages, business benefits and solution narratives.
- AI Trend Research & Experimentation: Stay current on developments across Generative AI, AI Agents, enterprise AI platforms and relevant AI applications. Conduct structured research and, where useful, hands‑on experimentation with selected tools or solutions, then summarize what is new, why it matters and how it may apply to customer use cases.
- Market & Solution Research: Research relevant market trends, customer needs, competing solutions and vendor capabilities to support customer engagements and solution development. Summarize findings into practical insights that help the team evaluate solution options, address customer questions and improve solution recommendations.
- Cross-functional Collaboration: Collaborate with internal engineers, solution architects, partners, vendors and other stakeholders to refine solution approaches, prepare customer materials and coordinate activities across customer engagements and projects.
- Knowledge Sharing: Turn AI research findings, vendor capability updates and project learnings into concise internal briefings, recommendations or reusable content that helps the wider team stay current and apply relevant insights to customer engagements.
Requirements
- Bachelor's degree in Business Administration or Information Technology related disciplines
- 1-3 years of relevant experience in solution consulting, business analysis, digital transformation or a similar customer-facing role.
- Proven experience engaging with business stakeholders to gather requirements, identify pain points, and develop solution recommendations.
- Experience preparing customer-facing proposals, business cases, presentations, executive briefings, and solution narratives.
- Strong research and analytical skills with the ability to synthesize market trends, emerging technologies, and customer requirements into actionable insights.
- Experience in Artificial Intelligence (AI), Generative AI, AI Agents, Machine Learning, Intelligent Automation, Data & Analytics, Cloud Solutions, or emerging technology consulting.
- Strong storytelling capability, with experience translating technical content into clear business narratives and executive-level messages.